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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 147 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

Max Range: 5.1676. Min Range: -5.1676

Max Act: 5.1676. Min Act: -0.1700

Data Index: 893566 (C4 (Web Text))

Max Activating Token Index: 205

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Truncated

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Text #1

Max Range: 5.1676. Min Range: -5.1676

Max Act: 5.1208. Min Act: -0.1700

Data Index: 221555 (C4 (Web Text))

Max Activating Token Index: 46

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Truncated

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Text #2

Max Range: 5.1676. Min Range: -5.1676

Max Act: 5.0895. Min Act: -0.1700

Data Index: 684032 (C4 (Web Text))

Max Activating Token Index: 689

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Text #3

Max Range: 5.1676. Min Range: -5.1676

Max Act: 5.0739. Min Act: -0.1700

Data Index: 1135078 (C4 (Web Text))

Max Activating Token Index: 140

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Text #4

Max Range: 5.1676. Min Range: -5.1676

Max Act: 5.0739. Min Act: -0.1700

Data Index: 753932 (C4 (Web Text))

Max Activating Token Index: 102

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Truncated

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Text #5

Max Range: 5.1676. Min Range: -5.1676

Max Act: 5.0114. Min Act: -0.1700

Data Index: 109927 (C4 (Web Text))

Max Activating Token Index: 225

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Text #6

Max Range: 5.1676. Min Range: -5.1676

Max Act: 4.9957. Min Act: -0.1700

Data Index: 1400992 (Python Code)

Max Activating Token Index: 664

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Truncated

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Text #7

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Max Act: 5.0270. Min Act: -0.1700

Data Index: 834598 (C4 (Web Text))

Max Activating Token Index: 230

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Truncated

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Text #8

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Max Act: 4.9645. Min Act: -0.1700

Data Index: 222004 (C4 (Web Text))

Max Activating Token Index: 123

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Text #9

Max Range: 5.1676. Min Range: -5.1676

Max Act: 4.9957. Min Act: -0.1700

Data Index: 883898 (C4 (Web Text))

Max Activating Token Index: 157

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Truncated

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Text #10

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Max Act: 4.9801. Min Act: -0.1700

Data Index: 395385 (C4 (Web Text))

Max Activating Token Index: 695

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Truncated

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Text #11

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Max Act: 4.9957. Min Act: -0.1700

Data Index: 504518 (C4 (Web Text))

Max Activating Token Index: 142

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Text #12

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Max Act: 4.9801. Min Act: -0.1700

Data Index: 1498604 (Python Code)

Max Activating Token Index: 397

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Text #13

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Max Act: 4.9801. Min Act: -0.1700

Data Index: 7911 (C4 (Web Text))

Max Activating Token Index: 32

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Truncated

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Text #14

Max Range: 5.1676. Min Range: -5.1676

Max Act: 4.9801. Min Act: -0.1700

Data Index: 241808 (C4 (Web Text))

Max Activating Token Index: 103

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Text #15

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Max Act: 4.9645. Min Act: -0.1700

Data Index: 956063 (C4 (Web Text))

Max Activating Token Index: 169

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Text #16

Max Range: 5.1676. Min Range: -5.1676

Max Act: 4.9645. Min Act: -0.1700

Data Index: 1050135 (C4 (Web Text))

Max Activating Token Index: 247

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Truncated

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Text #17

Max Range: 5.1676. Min Range: -5.1676

Max Act: 4.9332. Min Act: -0.1700

Data Index: 201860 (C4 (Web Text))

Max Activating Token Index: 608

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Text #18

Max Range: 5.1676. Min Range: -5.1676

Max Act: 4.9332. Min Act: -0.1700

Data Index: 175021 (C4 (Web Text))

Max Activating Token Index: 319

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Text #19

Max Range: 5.1676. Min Range: -5.1676

Max Act: 4.9489. Min Act: -0.1700

Data Index: 308484 (C4 (Web Text))

Max Activating Token Index: 841

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